←back to thread

Smartfunc: Turn Docstrings into LLM-Functions

(github.com)
70 points alexmolas | 1 comments | 08 Apr 25 09:43 UTC | HN request time: 0s | source
Show context
lukev ◴[10 Apr 25 15:36 UTC] No.43644995[source]▶
This is the way LLM-enhanced coding should (and I believe will) go.

Treating the LLM like a compiler is a much more scalable, extensible and composable mental model than treating it like a junior dev.

replies(2): >>43645013 #>>43650449 #
simonw ◴[10 Apr 25 15:38 UTC] No.43645013[source]▶
smartfunc doesn't really treat the LLM as a compiler - it's not generating Python code to fill out the function, it's converting that function into one that calls the LLM every time you call the function passing in its docstring as a prompt.

A version that DID work like a compiler would be super interesting - it could replace the function body with generated Python code on your first call and then reuse that in the future, maybe even caching state on disk rather than in-memory.

replies(6): >>43645175 #>>43645658 #>>43646624 #>>43647762 #>>43647875 #>>43650257 #
1. hombre_fatal ◴[11 Apr 25 03:30 UTC] No.43650257[source]▶
https://github.com/eeue56/neuro-lingo

You can even pin the last result:

    pinned function main() {
      // Print "Hello World" to the console
    }